CN116620314A - Driving auxiliary prompting method and device based on vehicle trip route - Google Patents
Driving auxiliary prompting method and device based on vehicle trip route Download PDFInfo
- Publication number
- CN116620314A CN116620314A CN202310401852.0A CN202310401852A CN116620314A CN 116620314 A CN116620314 A CN 116620314A CN 202310401852 A CN202310401852 A CN 202310401852A CN 116620314 A CN116620314 A CN 116620314A
- Authority
- CN
- China
- Prior art keywords
- route
- oil consumption
- value
- vehicle
- routes
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 47
- 230000007774 longterm Effects 0.000 claims abstract description 54
- 238000004364 calculation method Methods 0.000 claims abstract description 27
- 239000000446 fuel Substances 0.000 claims description 129
- 238000012216 screening Methods 0.000 claims description 23
- 230000002159 abnormal effect Effects 0.000 claims description 19
- 230000008569 process Effects 0.000 claims description 8
- 238000004422 calculation algorithm Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 11
- 238000010586 diagram Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 230000002776 aggregation Effects 0.000 description 3
- 238000004220 aggregation Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/0097—Predicting future conditions
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2530/00—Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
- B60W2530/209—Fuel quantity remaining in tank
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Human Computer Interaction (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Navigation (AREA)
Abstract
The application discloses a driving assistance prompting method and a driving assistance prompting device based on a vehicle pass route, wherein the method comprises the following steps: after determining the long-term parking spot of the vehicle, determining a number of first-pass routes for the long-term parking spot; determining overlapping areas of a plurality of first-pass routes to obtain a superposition route, and calculating a reference oil consumption value of the vehicle when the vehicle runs based on the superposition route; after the second trip route of the vehicle is obtained, calculating the oil consumption difference value between the reference oil consumption value and the oil consumption value corresponding to the second trip route, and carrying out driving assistance prompt according to the oil consumption difference value. According to the method, after the long-term parking point of the vehicle is determined, a plurality of different trip routes related to the long-term parking point are counted, the coincident routes of the different trip routes are calculated, and the reference oil consumption of the vehicle is calculated through the coincident routes with the same environment and road conditions, so that the calculation accuracy is improved, the calculation error of the reference oil consumption is reduced, meanwhile, the oil consumption reminding can be accurately carried out based on the reference oil consumption, and the driving auxiliary effect is improved.
Description
Technical Field
The application relates to the technical field of vehicle auxiliary driving, in particular to a driving auxiliary prompting method and device based on a vehicle pass route.
Background
A trip refers to a stroke of the vehicle from a long-term parking spot (e.g., home) and back again to the long-term parking spot, referred to as a trip. One pass is one out and one in. In the running process of the vehicle, the fuel consumption generated by different road conditions or different time or different environments is different, so that the fuel consumption reminding is needed to be carried out in order to timely inform the driver of the actual fuel consumption of the vehicle, and the effect of driving assistance is achieved.
The current common auxiliary driving reminding method is to calculate the reference oil consumption value of the vehicle in hundred kilometers, and then display the reference oil consumption value in a screen of the vehicle driving in real time so as to prompt the driver of the oil consumption condition, remind the driver of correcting the driving habit and reduce the oil consumption.
However, the above method has the following problems: the routes of running in different passes may be different, road conditions and driving environments of the different routes are also different and the same, and the total driving mileage of the multiple passes may be enough hundred kilometers, so that the oil consumption of the different passes is mixed together, the calculated oil consumption value is inconsistent with the reference oil consumption value of the current running pass route of the vehicle, the error is larger, the accuracy is lower, the follow-up oil consumption reminding is inaccurate, and the auxiliary reminding effect is poorer.
Disclosure of Invention
The application provides a driving assistance prompting method and a driving assistance prompting device based on a vehicle trip route, wherein the method can count a plurality of different trip routes after a vehicle stays at a stop point for a long time, calculate the superposition routes of the different trip routes, calculate the reference fuel consumption of the vehicle through the superposition routes with the same environment and road conditions, and prompt the fuel consumption based on the reference fuel consumption so as to improve the calculation precision and the driving assistance effect.
A first aspect of an embodiment of the present application provides a driving assistance prompting method based on a vehicle trip route, the method including:
after determining a long-term parking spot of a vehicle, determining a number of first pass routes for the long-term parking spot;
determining overlapping areas of a plurality of first pass routes to obtain a superposition route, and calculating a reference oil consumption value of the oil consumption value when the vehicle runs based on the superposition route;
after a second trip route of the vehicle is obtained, calculating a fuel consumption difference value between the reference fuel consumption value and a fuel consumption value corresponding to the second trip route, and carrying out driving assistance prompt according to the fuel consumption difference value, wherein the second trip route is a route which is different from the first trip route and is currently driven by the vehicle.
In a possible implementation manner of the first aspect, the calculating the fuel consumption value of the vehicle during driving based on the coincident route includes:
selecting a first-pass route from a plurality of first-pass routes contained in the coincident route at will, and taking the oil consumption value of the first-pass route selected at will as a reference oil consumption value;
or alternatively;
screening the highest oil consumption value from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes to obtain a reference oil consumption value;
or alternatively;
screening the lowest fuel consumption value from the fuel consumption values of a plurality of first-pass routes corresponding to the coincident routes to obtain a reference fuel consumption value;
or alternatively;
screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes according to a preset oil consumption value, and calculating the average value of the plurality of oil consumption values to obtain a reference oil consumption value;
or alternatively;
screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes according to the running time sequence of the plurality of first-pass routes, and calculating the average value of the plurality of oil consumption values to obtain a reference oil consumption value;
or alternatively;
and screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident route according to the running time sequence of the plurality of first-pass routes, and carrying out weighted average calculation on the plurality of oil consumption values to obtain a reference oil consumption value.
In a possible implementation manner of the first aspect, the calculating a weighted average of the number of fuel consumption values to obtain a reference fuel consumption value includes:
clustering the fuel consumption values by adopting a K-means algorithm to obtain a plurality of fuel consumption categories, wherein each fuel consumption category comprises at least one fuel consumption value;
counting the number value of the oil consumption value contained in each oil consumption category, and converting the number value into a weight value according to a preset proportion value;
and calculating the reference fuel consumption value by adopting the fuel consumption value of each fuel consumption category and the corresponding weight value.
In a possible implementation manner of the first aspect, the determining overlapping areas of the first pass routes to obtain the overlapping routes includes:
determining a plurality of paths which are overlapped with each other between every two of the first time paths to obtain a plurality of overlapped paths;
acquiring a driving parameter of each superimposed route, and performing aggregate classification on a plurality of superimposed routes according to the driving parameter to form a plurality of route categories, wherein each route category comprises at least one superimposed route, and the driving parameter comprises: running conditions, running road conditions and running environments;
and selecting an overlapped route of one route category as an overlapped route.
In a possible implementation manner of the first aspect, the selecting the superimposed route of the one route category as the superimposed route includes:
calculating the vehicle driving distance corresponding to the superimposed route of each route category to obtain a plurality of driving distance values;
and selecting the travel distance value with the smallest value from the travel distance values, and taking the superimposed route corresponding to the travel distance value with the smallest value as the combined route.
In a possible implementation manner of the first aspect, the determining the long-term parking point of the vehicle includes:
selecting a plurality of stop points of the vehicle in a preset driving range in a GPS positioning mode, and counting the stop times of each stop point to obtain a plurality of stop time values;
and selecting a plurality of parking places as long-term parking points based on the numerical value of the parking times.
In a possible implementation manner of the first aspect, the driving assistance prompting according to the fuel consumption difference value includes:
when the fuel consumption difference value is larger than a preset difference value, acquiring an abnormal running parameter and a current running mode of the vehicle in the running process of the second time route, wherein the abnormal running parameter comprises: low gear high speed times, low gear high speed time, low gear high speed oil consumption, overspeed driving times, overspeed driving time and overspeed driving oil consumption;
and displaying the abnormal driving parameters, and broadcasting preset prompt information for updating the driving model through voice when the current driving mode is low-gear high-speed or overspeed driving.
A second aspect of an embodiment of the present application provides a driving assistance warning device based on a vehicle trip route, the device including:
a means for determining a vehicle trip route for determining a number of first trip routes for a long-term parking spot of a vehicle after the long-term parking spot is determined;
the calculation reference oil consumption module is used for determining overlapping areas of a plurality of first pass routes to obtain a superposition route and calculating an oil consumption value when the vehicle runs based on the superposition route to obtain a reference oil consumption value;
and the driving assistance prompting module is used for calculating the oil consumption difference value of the reference oil consumption value and the oil consumption value corresponding to the second time route after the second time route of the vehicle is acquired, and performing driving assistance prompting according to the oil consumption difference value, wherein the second time route is a route which is different from the first time route and is currently driven by the vehicle.
Compared with the prior art, the driving assistance prompting method and device based on the vehicle pass route provided by the embodiment of the application have the beneficial effects that: according to the method, after the long-term parking point of the vehicle is determined, a plurality of different trip routes related to the long-term parking point are counted, the coincident routes of the different trip routes are calculated, and the reference oil consumption of the vehicle is calculated through the coincident routes with the same environment and road conditions, so that the calculation accuracy is improved, the calculation error of the reference oil consumption is reduced, meanwhile, the oil consumption reminding can be accurately carried out based on the reference oil consumption, and the driving auxiliary effect is improved.
Drawings
FIG. 1 is a schematic flow chart of a driving assistance prompting method based on a vehicle trip route according to an embodiment of the present application;
FIG. 2 is a schematic illustration of a vehicle pass route provided by an embodiment of the present application;
FIG. 3 is a schematic illustration of a vehicle coinciding with a route provided by an embodiment of the present application;
FIG. 4 is an operational flow diagram of a method for driving assistance cues based on a vehicle trip route, provided by an embodiment of the present application;
fig. 5 is a schematic structural diagram of a driving assistance prompting device based on a vehicle trip route according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In order to solve the above-mentioned problems, a driving assistance prompting method based on a vehicle approach route according to the embodiment of the present application will be described and illustrated in detail by the following specific embodiments.
Referring to fig. 1, a flow chart of a driving assistance prompting method based on a vehicle trip route according to an embodiment of the present application is shown.
In an embodiment, the method is applicable to a vehicle-mounted terminal, the vehicle-mounted terminal can be in communication connection with a cloud server, the cloud server can be used for data statistics, storage, auxiliary analysis and other functions, and the vehicle-mounted terminal can be used for data calculation, data analysis, driving auxiliary prompt and other functions.
Wherein, as an example, the driving assistance prompting method based on the vehicle pass route may include:
s11, after a long-term parking point of a vehicle is determined, a plurality of first pass routes related to the long-term parking point are determined.
Referring to FIG. 2, a schematic diagram of a vehicle pass route is shown, provided in an embodiment of the present application.
In an embodiment, the vehicle-mounted terminal may send an instruction for acquiring the long-term parking point to the cloud server, so that the cloud server sends the long-term parking point set by the user to the vehicle-mounted terminal according to the instruction or sends the long-term parking point obtained through calculation and analysis to the vehicle-mounted terminal.
After determining the long-term parking point, the vehicle-mounted terminal can send an instruction to the cloud server, so that the cloud server uses the long-term parking point as a starting point, and calculates routes corresponding to the rounds of the vehicle running back and forth for many times by using the long-term parking point as the starting point, thereby obtaining a plurality of first rounds of routes.
Or after determining the long-term parking point, the vehicle-mounted terminal records the driving route of the vehicle through the GPS positioning technology of the vehicle-mounted terminal, searches a plurality of driving routes to obtain a route which is driven by taking the long-term parking point as a starting point and a terminal, and obtains a plurality of first-pass routes.
As shown in fig. 2, the user starts from the long-term stop point and then returns to the long-term stop point after traveling, and this is a round trip, and the travel route is a first-pass route.
It should be noted that the first paths may be the same or different from each other.
In an embodiment, the step of determining the long-term parking point of the vehicle may be performed by a vehicle-mounted terminal, or may be performed by the vehicle-mounted terminal triggering the cloud server, and may be specifically defined according to actual needs.
As an example, step S11 may include the following sub-steps:
s111, selecting a plurality of stop places of the vehicle in a preset driving range through a GPS positioning mode, and counting the stop times of each stop place to obtain a plurality of stop times values.
In practical applications, the long-term parking point of the user may be a residential parking lot or a corporate parking lot of the user, and the parking space in the parking lot may not be fixed, so that the place where the vehicle is parked each time may be different, but the area is an area where the user parks the vehicle for a long period of time.
For this purpose, a predetermined driving range (for example, 1-3 km, preferably 2 km) can be set. An area can be set by taking a place set by a user as a center and taking a preset driving range as a radius, and then coordinates of a plurality of parked vehicles of the user in the area are acquired through a GPS positioning mode, so that a plurality of parked places are obtained.
The number of stops per stop, for example, within a month, or within a week, may then be counted.
S112, selecting a plurality of parking places as long-term parking points based on the numerical value of the parking times.
If the number of stops at the stop point is small, the stop point is possibly a temporary stop, and is not a long-term stop point of the user.
The method can screen a plurality of stopping points meeting the preset stopping times from a plurality of stopping points based on the stopping times, and takes the stopping points meeting the preset stopping times as long-term stopping points.
For example, a number of stop places with a stop number greater than 10 are screened as long-term stop points. For another example, the first 10 stop points with the largest stop number can be ranked as high as the bottom stop number, and then screened as long-term stop points.
S12, determining overlapping areas of a plurality of first-pass routes to obtain overlapping routes, and calculating a fuel consumption value when the vehicle runs based on the overlapping routes to obtain a reference fuel consumption value.
In an embodiment, after determining a plurality of first-pass routes, overlapping areas between every two of the plurality of first-pass routes may be obtained to obtain a plurality of overlapping routes, and then one of the overlapping routes is arbitrarily selected as an overlapping route for subsequent processing and calculation.
Referring to fig. 3, a schematic diagram of a vehicle coinciding route is shown according to an embodiment of the present application.
Assuming that there are two long-term parking points, a and B, respectively, each corresponding to one first pass route, there are two first pass routes in total. Then, the overlapping portion of the two first-pass routes may be searched, as shown in fig. 3, and if the connection line between a and B is the overlapping portion, the connection line between a and B may be used as the overlapping route.
After the determination of the coinciding route, the actual fuel consumption of the vehicle traveling in the coinciding route may be calculated.
Because the road sections of the coincident routes are the same and the user has to travel through the routes each time, the road condition and the traveling elevation of the user can be determined to be the same. The method can carry out subsequent oil consumption calculation based on the same environmental conditions, can be more fit with the actual application situation of a user, and can be matched with different trip routes, so that the error of the subsequent oil consumption calculation can be reduced, and the accuracy of calculation is improved.
In an alternative embodiment, there may be multiple long-term parking points, there may be multiple corresponding first-pass routes, and there may be multiple routes in the overlapping area between every two of the multiple first-pass routes, so that there are multiple overlapping routes, and in order to further screen out the overlapping routes similar to each first-pass route or fit the overlapping routes of different first-pass routes from the multiple overlapping routes, so that the environmental conditions and road conditions of the overlapping routes can be matched with the different first-pass routes, and the accuracy of the subsequent fuel consumption calculation is further improved.
As an example, step S12 may include the following sub-steps:
s121, determining a plurality of routes overlapped with each other between every two of the first-pass routes to obtain a plurality of overlapped routes.
Specifically, a plurality of first-pass routes can be overlapped with each other to obtain a plurality of overlapped routes.
Assuming that there are three long-term parking points, A, B and C respectively, and each long-term parking point corresponds to one first-pass route, then there are three first-pass routes in total, two first-pass routes corresponding to a and B can be determined to be mutually overlapped, two first-pass routes corresponding to a and C can be determined to be mutually overlapped, and two first-pass routes corresponding to B and C can be determined to be mutually overlapped, so that 3 overlapped routes are obtained in total.
If there are two or more first routes per long-term stop, multiple superimposed routes may also be obtained by operating in the manner described above.
S122, acquiring a driving parameter of each overlapped route, and carrying out aggregation classification on a plurality of overlapped routes according to the driving parameter to form a plurality of route categories, wherein each route category comprises at least one overlapped route, and the driving parameter comprises: running conditions, running road conditions and running environment.
In an embodiment, the driving parameters may include driving conditions, driving road conditions, driving environment, weather information, humidity, temperature, wind direction, etc. corresponding to each time of occurrence may be added. And carrying out aggregation classification on each superimposed route according to each parameter, and identifying similar passes so that the superimposed routes with the same driving parameters are integrated together. The classified routes are identical in driving road sections and weather, temperature and humidity and environment, so that the influence of road conditions and environmental factors on oil consumption can be reduced, and the accuracy of subsequent oil consumption calculation is improved.
S123, selecting a superposition route of the route categories as a superposition route.
Since the conditions of the routes of the respective categories are the same, any one superimposed route of one category can be arbitrarily selected as the superimposed route.
If the distance traveled by the coincident route is long, the following fuel consumption may have more influencing factors, for example, the driving habit of the user or an emergency, so as to further reduce the influence of the factors, in an alternative embodiment, step S123 may include the following substeps:
s1231, calculating the vehicle driving distance corresponding to the superimposed route of each route category, and obtaining a plurality of driving distance values.
S1232, selecting a travel distance value with the smallest value from the travel distance values, and taking the superimposed route corresponding to the travel distance value with the smallest value as the combined route.
Specifically, the vehicle travel distance corresponding to the superimposed route of each route category, that is, the mileage of the route, may be calculated, so that a plurality of travel distance values may be obtained.
And screening the travel distance value with the smallest value from the travel distance values, and taking the superimposed route corresponding to the travel distance value with the smallest value as the combined route.
Alternatively, the travel distance value with the largest value may be selected from the plurality of travel distance values according to the actual application requirement, and the superimposed route corresponding to the travel distance value with the smallest value is the merged route.
Alternatively, the number of vehicle driving times corresponding to the superimposed route of each route category may be calculated according to the actual application requirement, the number of vehicle driving times with the largest value may be selected from the plurality of vehicle driving times, and the superimposed route corresponding to the number of vehicle driving times with the smallest value may be the superimposed route.
It should be noted that, in order to reduce the burden of processing data by the vehicle-mounted terminal, in an embodiment, the vehicle-mounted terminal may send the determined first time route to the cloud server, the cloud server determines the superimposed route, and then sends the superimposed route to the vehicle-mounted terminal. And then, the vehicle-mounted terminal can combine a plurality of routes recorded in advance by the cloud server and the transmitted overlapped route to carry out aggregation classification, so that the overlapped route is obtained by screening.
After the coincident route is determined, the fuel consumption value of the vehicle when traveling can be calculated based on the coincident route.
In an embodiment, the way to calculate the reference fuel consumption value may comprise the sub-steps of:
s21, randomly selecting one first-pass route from a plurality of first-pass routes contained in the overlapped route, and taking the oil consumption value of the randomly selected first-pass route as a reference oil consumption value.
In an embodiment, one first-pass route may be arbitrarily selected from the first-pass routes corresponding to the overlapped route, and then the fuel consumption value of the one first-pass route is used as the reference fuel consumption value.
Specifically, the fuel consumption value of the first-pass route on the coincident route may be used as the reference fuel consumption value.
Or alternatively;
s31, screening the highest fuel consumption value from the fuel consumption values of the first time routes corresponding to the overlapped routes to obtain a reference fuel consumption value.
In an embodiment, the fuel consumption value of each first route corresponding to the overlapped route may be calculated, and then the fuel consumption value with the largest value is selected as the highest fuel consumption value, and the highest fuel consumption value is used as the reference fuel consumption value.
Or alternatively;
s41, screening the lowest fuel consumption value from the fuel consumption values of the first time routes corresponding to the overlapped routes to obtain a reference fuel consumption value.
In an embodiment, the fuel consumption value of each first route corresponding to the coincident route may be calculated, and then the fuel consumption value with the smallest value is selected as the lowest fuel consumption value, and the lowest fuel consumption value is used as the reference fuel consumption value.
Or alternatively;
s51, screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes according to a preset oil consumption value, and calculating the average value of the plurality of oil consumption values to obtain a reference oil consumption value.
In an embodiment, the fuel consumption values of the first route corresponding to the overlapped route may be screened according to the preset fuel consumption number value, and then the average value of the fuel consumption values is calculated to obtain the reference fuel consumption value.
For example, the first-pass routes corresponding to the overlapped routes may be screened for the first 10 first-pass routes, then the fuel consumption data corresponding to the first 10 first-pass routes may be obtained, and then the average may be calculated to obtain the reference fuel consumption value.
Or alternatively;
s61, screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the overlapped route according to the running time sequence of the plurality of first-pass routes, and calculating the average value of the plurality of oil consumption values to obtain a reference oil consumption value.
In an embodiment, the first time routes corresponding to the overlapped routes may be arranged according to the running time sequence, specifically, the first row of the latest running and the last row of the following running may be arranged according to time sequence.
And then screening a plurality of first-pass routes according to a preset number value to obtain the oil consumption value of each first-pass route, and then solving the average value of all the oil consumption values to obtain the reference oil consumption value.
For example, the last 10 first-pass routes in the coincident routes may be screened, then the fuel consumption values of the last 10 first-pass routes may be obtained, and then averaged to obtain the reference fuel consumption value.
Or alternatively;
and S71, screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the overlapped route according to the running time sequence of the plurality of first-pass routes, and carrying out weighted average calculation on the plurality of oil consumption values to obtain a reference oil consumption value.
Optionally, a plurality of corresponding first-pass routes may be screened in the above manner, and the fuel consumption value of each first-pass route is obtained, and then the fuel consumption values are weighted and averaged to obtain the reference fuel consumption value.
For example, the last 10 first-pass routes in the coincident routes can be screened, then the oil consumption values of the last 10 first-pass routes are obtained, and weighted average calculation is performed on the 10 oil consumption values to obtain the reference oil consumption value.
In an alternative embodiment, the operation of weighted average calculation may comprise the sub-steps of:
s711, clustering the fuel consumption values by adopting a K-means algorithm to obtain a plurality of fuel consumption categories, wherein each fuel consumption category comprises at least one fuel consumption value.
And S712, counting the number value of the fuel consumption value contained in each fuel consumption category, and converting the number value into a weight value according to a preset proportion value.
S713, calculating a reference fuel consumption value by adopting the fuel consumption value of each fuel consumption category and the corresponding weight value.
Taking the above example, assume that the last 10 first-pass routes in the coincident routes are screened, and then the fuel consumption values of the last 10 first-pass routes are obtained, so as to obtain 10 fuel consumption values.
The 10 fuel consumption were clustered by a K-means algorithm, optionally with k=3, into 3 classes. Meanwhile, the class sequence number and the number of passes of the class can be recorded.
Next, this actual fuel consumption=fuel consumption of the reference trip=sum (fuel consumption of the first trip route×weight)/Sum (each trip weight).
Wherein the weight of each first pass route = the number of passes of that pass sequence number/10.
Alternatively, the mileage can be calculated, and the fuel consumption can be calculated according to the mileage.
The mileage is calculated as follows:
mileage of reference pass = Sum (pass mileage weight)/Sum (each pass weight);
the number of event occurrences of the reference pass=sum (number of event occurrences of pass) Sum (weight of each pass) is rounded.
It should be noted that, during the calculation, abnormality detection may also be performed, for example, whether other factors such as a certain parameter is abnormal=pass normal is weighted: normal ratio, pass anomaly weight: and (3) judging the abnormal proportion and judging the proportion of the normal and abnormal is large, and determining whether the reference pass is normal or not.
If the calculation is abnormal, the vehicle-mounted terminal can inform the user.
S13, after a second trip route of the vehicle is obtained, calculating an oil consumption difference value of the reference oil consumption value and an oil consumption value corresponding to the second trip route, and carrying out driving assistance prompt according to the oil consumption difference value, wherein the second trip route is a route which is different from the first trip route and is currently driven by the vehicle.
In an embodiment, the calculated reference fuel consumption value may be the fuel consumption of a certain section of the coincident route of a certain trip, or the fuel consumption of a whole section of the path of a certain trip, and if the current trip of driving the vehicle is not changed, the fuel consumption is not changed in a large probability, and the fuel consumption reminding may not be performed.
If the current driving time of the vehicle is changed, the fuel consumption of the current time route may be different from that of the previous time route, and fuel consumption reminding needs to be performed. For this purpose, the vehicle travelled by the user can be located by means of GPS technology, and it is checked whether the route travelled is identical to the route of the previous trip.
If the current running route is different from the previous running route, the current running route can be obtained, and a second running route can be obtained. And simultaneously calculating the oil consumption value of the second time route in real time to obtain the real-time oil consumption value.
And calculating the difference value between the reference oil consumption value and the real-time oil consumption value to obtain an oil consumption difference value capable of representing oil consumption change, and performing driving assistance prompt according to the oil consumption difference value so as to assist a user in adjusting a driving mode or a driving model of the user, thereby achieving the effect of reducing oil consumption.
The mode that the user can directly influence the fuel consumption of the vehicle is the driving mode, and the effect of driving assistance reminding can be achieved by a method for prompting the driving mode, and in one embodiment, the step S13 may include the following substeps:
s131, when the fuel consumption difference value is larger than a preset difference value, acquiring an abnormal running parameter and a current running mode of the vehicle in the running process of the second time route, wherein the abnormal running parameter comprises: low gear high speed times, low gear high speed time, low gear high speed oil consumption, overdrive times, overdrive time and overdrive oil consumption.
And S132, displaying the abnormal driving parameters, and broadcasting preset prompt information for updating a driving model by voice when the current driving mode is low-gear high-speed or overspeed driving.
If the fuel consumption difference is greater than the preset difference, the current fuel consumption of the vehicle is higher, and the abnormal running parameters and the current running mode of the vehicle need to be acquired in the running process of the current second trip route, wherein the abnormal running parameters comprise: the current running mode may include overdrive running or low-gear high-speed running, and the low-gear high-speed frequency, low-gear high-speed time, low-gear high-speed oil consumption, overdrive running frequency, overdrive running time, and overdrive running oil consumption.
And then displaying the parameters and the driving modes in real time for a user to check, so as to realize a first display prompt. While it may be determined that the current travel mode is overdrive or low-gear high-speed travel.
For example, if the current driving mode is overdrive driving, the number of overdrive driving, the overdrive driving time and the overdrive driving oil consumption are respectively obtained, then, when the vehicle is overdrive driven each time, the difference between the overdrive driving oil consumption and the historical average oil consumption of the vehicle in the economic driving mode is calculated to obtain the oil consumption difference, then, the total oil consumption value is calculated by the oil consumption difference and the overdrive driving time, and then, the total oil consumption value is prompted by voice, and the user is prompted to reduce the speed or the oil consumption, so that the effect of reducing the oil consumption can be achieved.
For example, when the current driving mode is low-gear high-speed driving, respectively acquiring low-gear high-speed times, low-gear high-speed time and low-gear high-speed oil consumption, then calculating the difference value between the low-gear high-speed oil consumption and the historical average oil consumption of the vehicle in the economic driving mode when the low-gear high-speed driving is performed each time to obtain the oil consumption difference value, then calculating the total oil consumption value between the oil consumption difference value and the low-gear high-speed time, then prompting the total oil consumption value by voice, and prompting the user to carry out gear lifting, thereby realizing the effect of reducing the oil consumption.
Referring to fig. 4, an operation flowchart of a driving assistance prompting method based on a vehicle trip route according to an embodiment of the present application is shown.
In an embodiment, if all the calculation and analysis operations are performed by the vehicle-mounted terminal, the burden of the vehicle-mounted terminal may be increased, and the data processing efficiency may be low.
In order to improve the data processing effect of the vehicle-mounted terminal, in an implementation manner, the vehicle-mounted terminal and the cloud server can be interacted to realize the technical scheme of the application.
Specifically, the operation flow thereof may include the following steps:
first, the cloud server calculates a constant residence point (i.e., a long-term residence point), and then the long-term residence point is sent to the vehicle-mounted terminal.
In a second step, the vehicle terminal may add labels to long-term parking spots, e.g., "home" or "workplace", etc.
Thirdly, after the vehicle-mounted terminal determines the long-term parking point, the cloud server can be notified, then the cloud server calculates the time about the long-term parking point, determines the coincident route corresponding to the multiple time routes, and sends the coincident route to the vehicle-mounted terminal.
And fourthly, after determining one coincident route from the multiple coincident routes, the vehicle-mounted terminal can acquire the trip routes with the same coincident route from the cloud server, and then check the relevant records and parameters of each trip route.
And fifthly, the vehicle-mounted terminal can calculate a reference oil consumption value according to the related records and parameters of each trip route and the related parameters of the trip route corresponding to the coincident route, or select an oil consumption value as the reference oil consumption value by a user.
And sixthly, if the current trip route is different from the previous trip route, calculating the deviation of the oil consumption of the current trip route and the reference oil consumption value, and carrying out auxiliary driving reminding according to the oil consumption deviation.
And seventh, controllable factors (including abnormal driving parameters and current driving modes) influencing the oil consumption can be obtained from the cloud server, specific reasons for generating the oil consumption can be determined according to the controllable factors, and then oil consumption reminding is carried out.
In this embodiment, the embodiment of the application provides a driving assistance prompting method based on a vehicle trip route, which has the following beneficial effects: according to the method, after the long-term parking point of the vehicle is determined, a plurality of different trip routes related to the long-term parking point are counted, the coincident routes of the different trip routes are calculated, and the reference oil consumption of the vehicle is calculated through the coincident routes with the same environment and road conditions, so that the calculation accuracy is improved, the calculation error of the reference oil consumption is reduced, meanwhile, the oil consumption reminding can be accurately carried out based on the reference oil consumption, and the driving auxiliary effect is improved.
The embodiment of the application also provides a driving assistance prompting device based on the vehicle pass route, and referring to fig. 5, a schematic structural diagram of the driving assistance prompting device based on the vehicle pass route is shown.
Wherein, as an example, the driving assistance prompting device based on the vehicle pass route may include:
a determine vehicle pass route module 501 for determining a number of first pass routes for a long-term parking spot of a vehicle after determining the long-term parking spot;
the reference oil consumption calculating module 502 is configured to determine overlapping areas of the first routing paths to obtain a coinciding route, and calculate an oil consumption value when the vehicle runs based on the coinciding route;
the driving assistance prompting module 503 is configured to calculate a fuel consumption difference value between the reference fuel consumption value and a fuel consumption value corresponding to a second route of the vehicle after the second route of the vehicle is acquired, and perform driving assistance prompting according to the fuel consumption difference value, where the second route of the vehicle is a route that the vehicle is currently running and is different from the first route of the vehicle.
Optionally, the calculating reference fuel consumption module is further configured to:
selecting a first-pass route from a plurality of first-pass routes contained in the coincident route at will, and taking the oil consumption value of the first-pass route selected at will as a reference oil consumption value;
or alternatively;
screening the highest oil consumption value from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes to obtain a reference oil consumption value;
or alternatively;
screening the lowest fuel consumption value from the fuel consumption values of a plurality of first-pass routes corresponding to the coincident routes to obtain a reference fuel consumption value;
or alternatively;
screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes according to a preset oil consumption value, and calculating the average value of the plurality of oil consumption values to obtain a reference oil consumption value;
or alternatively;
screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes according to the running time sequence of the plurality of first-pass routes, and calculating the average value of the plurality of oil consumption values to obtain a reference oil consumption value;
or alternatively;
and screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident route according to the running time sequence of the plurality of first-pass routes, and carrying out weighted average calculation on the plurality of oil consumption values to obtain a reference oil consumption value.
Optionally, the calculating reference fuel consumption module is further configured to:
clustering the fuel consumption values by adopting a K-means algorithm to obtain a plurality of fuel consumption categories, wherein each fuel consumption category comprises at least one fuel consumption value;
counting the number value of the oil consumption value contained in each oil consumption category, and converting the number value into a weight value according to a preset proportion value;
and calculating the reference fuel consumption value by adopting the fuel consumption value of each fuel consumption category and the corresponding weight value.
Optionally, the calculating reference fuel consumption module is further configured to:
determining a plurality of paths which are overlapped with each other between every two of the first time paths to obtain a plurality of overlapped paths;
acquiring a driving parameter of each superimposed route, and performing aggregate classification on a plurality of superimposed routes according to the driving parameter to form a plurality of route categories, wherein each route category comprises at least one superimposed route, and the driving parameter comprises: running conditions, running road conditions and running environments;
and selecting an overlapped route of one route category as an overlapped route.
Optionally, the calculating reference fuel consumption module is further configured to:
calculating the vehicle driving distance corresponding to the superimposed route of each route category to obtain a plurality of driving distance values;
and selecting the travel distance value with the smallest value from the travel distance values, and taking the superimposed route corresponding to the travel distance value with the smallest value as the combined route.
Optionally, the determining pass route module is further configured to:
selecting a plurality of stop points of the vehicle in a preset driving range in a GPS positioning mode, and counting the stop times of each stop point to obtain a plurality of stop time values;
and selecting a plurality of parking places as long-term parking points based on the numerical value of the parking times.
Optionally, the driving assistance prompting module is further configured to:
when the fuel consumption difference value is larger than a preset difference value, acquiring an abnormal running parameter and a current running mode of the vehicle in the running process of the second time route, wherein the abnormal running parameter comprises: low gear high speed times, low gear high speed time, low gear high speed oil consumption, overspeed driving times, overspeed driving time and overspeed driving oil consumption;
and displaying the abnormal driving parameters, and broadcasting preset prompt information for updating the driving model through voice when the current driving mode is low-gear high-speed or overspeed driving.
It will be clearly understood by those skilled in the art that, for convenience and brevity, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
Further, an embodiment of the present application further provides an electronic device, including: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the driving assistance prompting method based on the vehicle pass route according to the embodiment.
Further, an embodiment of the present application also provides a computer-readable storage medium storing a computer-executable program for causing a computer to execute the vehicle-pass route-based driving assistance prompting method according to the above embodiment.
While the foregoing is directed to the preferred embodiments of the present application, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the application, such changes and modifications are also intended to be within the scope of the application.
Claims (10)
1. A method of driving assistance prompting based on a vehicle trip route, the method comprising:
after determining a long-term parking spot of a vehicle, determining a number of first pass routes for the long-term parking spot;
determining overlapping areas of a plurality of first pass routes to obtain a superposition route, and calculating a reference oil consumption value of the oil consumption value when the vehicle runs based on the superposition route;
after a second trip route of the vehicle is obtained, calculating a fuel consumption difference value between the reference fuel consumption value and a fuel consumption value corresponding to the second trip route, and carrying out driving assistance prompt according to the fuel consumption difference value, wherein the second trip route is a route which is different from the first trip route and is currently driven by the vehicle.
2. The driving assistance presentation method based on the vehicle passing route according to claim 1, characterized in that the calculating the fuel consumption value at the time of vehicle running based on the coincident route includes:
selecting a first-pass route from a plurality of first-pass routes contained in the coincident route at will, and taking the oil consumption value of the first-pass route selected at will as a reference oil consumption value;
or alternatively;
screening the highest oil consumption value from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes to obtain a reference oil consumption value;
or alternatively;
screening the lowest fuel consumption value from the fuel consumption values of a plurality of first-pass routes corresponding to the coincident routes to obtain a reference fuel consumption value;
or alternatively;
screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes according to a preset oil consumption value, and calculating the average value of the plurality of oil consumption values to obtain a reference oil consumption value;
or alternatively;
screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident routes according to the running time sequence of the plurality of first-pass routes, and calculating the average value of the plurality of oil consumption values to obtain a reference oil consumption value;
or alternatively;
and screening a plurality of oil consumption values from the oil consumption values of a plurality of first-pass routes corresponding to the coincident route according to the running time sequence of the plurality of first-pass routes, and carrying out weighted average calculation on the plurality of oil consumption values to obtain a reference oil consumption value.
3. The driving assistance prompting method based on the vehicle trip route according to claim 2, wherein the weighted average calculation of the fuel consumption values of the plurality of fuel consumption values to obtain a reference fuel consumption value includes:
clustering the fuel consumption values by adopting a K-means algorithm to obtain a plurality of fuel consumption categories, wherein each fuel consumption category comprises at least one fuel consumption value;
counting the number value of the oil consumption value contained in each oil consumption category, and converting the number value into a weight value according to a preset proportion value;
and calculating the reference fuel consumption value by adopting the fuel consumption value of each fuel consumption category and the corresponding weight value.
4. The vehicle trip route-based driving assistance prompting method according to claim 1, wherein said determining overlapping areas of a plurality of said first trip routes results in a coinciding route, comprising:
determining a plurality of paths which are overlapped with each other between every two of the first time paths to obtain a plurality of overlapped paths;
acquiring a driving parameter of each superimposed route, and performing aggregate classification on a plurality of superimposed routes according to the driving parameter to form a plurality of route categories, wherein each route category comprises at least one superimposed route, and the driving parameter comprises: running conditions, running road conditions and running environments;
and selecting an overlapped route of one route category as an overlapped route.
5. The vehicle trip route-based driving assistance prompting method according to claim 4, wherein said selecting an overlapping route of one of said route categories as an overlapping route includes:
calculating the vehicle driving distance corresponding to the superimposed route of each route category to obtain a plurality of driving distance values;
and selecting the travel distance value with the smallest value from the travel distance values, and taking the superimposed route corresponding to the travel distance value with the smallest value as the combined route.
6. The vehicle trip route-based driving assistance warning method according to any one of claims 1 to 5, wherein said determining a long-term parking point of the vehicle includes:
selecting a plurality of stop points of the vehicle in a preset driving range in a GPS positioning mode, and counting the stop times of each stop point to obtain a plurality of stop time values;
and selecting a plurality of parking places as long-term parking points based on the numerical value of the parking times.
7. The vehicle-trip-route-based driving assistance prompting method according to any one of claims 1 to 5, characterized in that the driving assistance prompting according to the fuel consumption difference value includes:
when the fuel consumption difference value is larger than a preset difference value, acquiring an abnormal running parameter and a current running mode of the vehicle in the running process of the second time route, wherein the abnormal running parameter comprises: low gear high speed times, low gear high speed time, low gear high speed oil consumption, overspeed driving times, overspeed driving time and overspeed driving oil consumption;
and displaying the abnormal driving parameters, and broadcasting preset prompt information for updating the driving model through voice when the current driving mode is low-gear high-speed or overspeed driving.
8. A driving assistance presentation device based on a vehicle trip route, the device comprising:
a means for determining a vehicle trip route for determining a number of first trip routes for a long-term parking spot of a vehicle after the long-term parking spot is determined;
the calculation reference oil consumption module is used for determining overlapping areas of a plurality of first pass routes to obtain a superposition route and calculating an oil consumption value when the vehicle runs based on the superposition route to obtain a reference oil consumption value;
and the driving assistance prompting module is used for calculating the oil consumption difference value of the reference oil consumption value and the oil consumption value corresponding to the second time route after the second time route of the vehicle is acquired, and performing driving assistance prompting according to the oil consumption difference value, wherein the second time route is a route which is different from the first time route and is currently driven by the vehicle.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the vehicle trip route-based driving assistance presentation method according to any one of claims 1 to 7 when executing the program.
10. A computer-readable storage medium storing a computer-executable program for causing a computer to execute the vehicle-pass-route-based driving assistance prompting method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310401852.0A CN116620314B (en) | 2023-04-14 | 2023-04-14 | Driving auxiliary prompting method and device based on vehicle trip route |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310401852.0A CN116620314B (en) | 2023-04-14 | 2023-04-14 | Driving auxiliary prompting method and device based on vehicle trip route |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116620314A true CN116620314A (en) | 2023-08-22 |
| CN116620314B CN116620314B (en) | 2024-02-02 |
Family
ID=87608881
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310401852.0A Active CN116620314B (en) | 2023-04-14 | 2023-04-14 | Driving auxiliary prompting method and device based on vehicle trip route |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116620314B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002350152A (en) * | 2001-05-25 | 2002-12-04 | Mazda Motor Corp | Information display method, information providing device and information display device used therefor, program for controlling information providing device or information display device, and recording medium recording the same |
| CN102442316A (en) * | 2010-10-13 | 2012-05-09 | 曼卡车和巴士股份公司 | Driver assistance system for a motor vehicle and method for operating same |
| CN109606286A (en) * | 2018-12-10 | 2019-04-12 | 英华达（上海）科技有限公司 | Vehicle oil consumption prediction technique, automobile navigation method and electronic equipment |
| CN113532454A (en) * | 2020-04-17 | 2021-10-22 | 陕西汽车集团有限责任公司 | Vehicle oil quantity early warning method based on historical oil consumption and path planning |
| CN113624291A (en) * | 2021-07-27 | 2021-11-09 | 三一专用汽车有限责任公司 | Oil consumption monitoring method, oil consumption monitoring device and engineering vehicle |
-
2023
- 2023-04-14 CN CN202310401852.0A patent/CN116620314B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002350152A (en) * | 2001-05-25 | 2002-12-04 | Mazda Motor Corp | Information display method, information providing device and information display device used therefor, program for controlling information providing device or information display device, and recording medium recording the same |
| CN102442316A (en) * | 2010-10-13 | 2012-05-09 | 曼卡车和巴士股份公司 | Driver assistance system for a motor vehicle and method for operating same |
| CN109606286A (en) * | 2018-12-10 | 2019-04-12 | 英华达（上海）科技有限公司 | Vehicle oil consumption prediction technique, automobile navigation method and electronic equipment |
| CN113532454A (en) * | 2020-04-17 | 2021-10-22 | 陕西汽车集团有限责任公司 | Vehicle oil quantity early warning method based on historical oil consumption and path planning |
| CN113624291A (en) * | 2021-07-27 | 2021-11-09 | 三一专用汽车有限责任公司 | Oil consumption monitoring method, oil consumption monitoring device and engineering vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116620314B (en) | 2024-02-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11069229B2 (en) | Probe based variable speed sign value | |
| US11636760B2 (en) | Detection and estimation of variable speed signs | |
| CN110986985B (en) | Vehicle travel pushing method and device, medium, control terminal and automobile | |
| EP2940545B1 (en) | Mode transition for an autonomous vehicle | |
| US10417509B2 (en) | Variable speed sign value prediction and confidence modeling | |
| US9720418B2 (en) | Autonomous vehicle monitoring and control | |
| US8682572B2 (en) | Method and device for evaluating vehicle's fuel consumption efficiency | |
| US7353111B2 (en) | Navigation system performing route guidance for vehicle | |
| US11100794B2 (en) | Autonomous driving and slowdown patterns | |
| US20180370537A1 (en) | System providing remaining driving information of vehicle based on user behavior and method thereof | |
| US11237007B2 (en) | Dangerous lane strands | |
| CN106022846A (en) | Automobile insurance pricing method, second-hand automobile pricing method and corresponding devices | |
| CN111465972A (en) | System for calculating error probability of vehicle sensor data | |
| US11568750B2 (en) | Method and apparatus for estimating false positive reports of detectable road events | |
| US20220169287A1 (en) | Method and apparatus for computing an estated time of arrivalvia a route based on a degraded state of a vehicle after an accident and/or malfunction | |
| US20220172614A1 (en) | Method and apparatus for determining map improvements based on detected accidents | |
| US20220121862A1 (en) | Lane marking | |
| US20220205807A1 (en) | Recall of hazard warning created from vehicle sensor data | |
| CN116620314B (en) | Driving auxiliary prompting method and device based on vehicle trip route | |
| US20220207389A1 (en) | Estimation reliability of hazard warning from a sensor | |
| CN114722931A (en) | Vehicle-mounted data processing method and device, data acquisition equipment and storage medium | |
| Ferreira et al. | Electric vehicle assistant based on driver profile | |
| CN111523702A (en) | Optimization method, system, server and storage medium for taxi-boarding points of network appointment taxi | |
| US20230401954A1 (en) | Information processing apparatus and information processing method | |
| EP4011736A1 (en) | Method and apparatus for mixed mode automated driving |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |